# Capacity, Not Horsepower: Rethinking How We Measure AI's Impact on Engineering

- From: Atlassian
- Type: Video
- Length: 10 pages
- Language: English
- Page: <https://www.cxoinsights.com/atlassian/capacity-not-horsepower-rethinking-how-we-measure-ai-s-i>

## About it

Capacity, Not Horsepower: Rethinking How We Measure AI's Impact on Engineering Move past vanity metrics and learn how to prove AI's real impact on engineering, using data from 500+ organizations \[img width=605\]//f3bb08b8efc611081e05f77b02395fcc.cdn.bubble.io/f1793011482676x808381350825520000/richtext\_content.png Hours saved and lines of code don't show whether AI is working. Justin Reock (DX) and Uma Namasivayam (Dropbox) share a research backed framework for measuring what leadership actually wants to know: is your engineering team delivering more innovation, more reliably and sustainably? Key takeaways: \[li indent=0 align=left\]Why AI adoption is the wrong metric, and impact is the right one \[li indent=0 align=left\]Why faster engineering doesn't automatically mean more value \[li indent=0 align=left\]How to turn AI-generated capacity into business impact

## Getting it

It's free on the page: fill in a short form there to read it. <https://www.cxoinsights.com/atlassian/capacity-not-horsepower-rethinking-how-we-measure-ai-s-i>

Published on CXO Insights.